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» Integrating Machine Learning in Parallel Heuristic Search
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LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 3 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
EMNLP
2011
13 years 9 months ago
Heuristic Search for Non-Bottom-Up Tree Structure Prediction
State of the art Tree Structures Prediction techniques rely on bottom-up decoding. These approaches allow the use of context-free features and bottom-up features. We discuss the l...
Andrea Gesmundo, James Henderson
78
Voted
JDWM
2007
122views more  JDWM 2007»
14 years 9 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
ICML
2007
IEEE
15 years 10 months ago
Best of both: a hybridized centroid-medoid clustering heuristic
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...
Nizar Grira, Michael E. Houle
HEURISTICS
2002
99views more  HEURISTICS 2002»
14 years 9 months ago
Parallelizing Tabu Search on a Cluster of Heterogeneous Workstations
In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strate...
Ahmad A. Al-Yamani, Sadiq M. Sait, Habib Youssef, ...